xlang-ai / batch-promptingLinks
[EMNLP 2023 Industry Track] A simple prompting approach that enables the LLMs to run inference in batches.
☆72Updated last year
Alternatives and similar repositories for batch-prompting
Users that are interested in batch-prompting are comparing it to the libraries listed below
Sorting:
- Official implementation for 'Extending LLMs’ Context Window with 100 Samples'☆78Updated last year
- ☆72Updated last year
- Scalable Meta-Evaluation of LLMs as Evaluators☆42Updated last year
- Retrieval as Attention☆83Updated 2 years ago
- [ICLR 2025] LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization☆36Updated 3 months ago
- Long Context Extension and Generalization in LLMs☆56Updated 8 months ago
- Code for preprint "Metadata Conditioning Accelerates Language Model Pre-training (MeCo)"☆39Updated last month
- Codebase for Instruction Following without Instruction Tuning☆34Updated 8 months ago
- Astraios: Parameter-Efficient Instruction Tuning Code Language Models☆58Updated last year
- Code for paper 'Data-Efficient FineTuning'☆29Updated 2 years ago
- The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models" [AISTATS …☆59Updated 7 months ago
- A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models☆55Updated 3 months ago
- Simple and efficient pytorch-native transformer training and inference (batched)☆75Updated last year
- Transformers at any scale☆41Updated last year
- ☆35Updated last year
- The official repo for "LLoCo: Learning Long Contexts Offline"☆116Updated 11 months ago
- A dataset of LLM-generated chain-of-thought steps annotated with mistake location.☆81Updated 9 months ago
- List of papers on Self-Correction of LLMs.☆73Updated 5 months ago
- Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"☆47Updated last year
- Implementation of the paper: "Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention" from Google in pyTO…☆55Updated this week
- Official repository for ACL 2025 paper "Model Extrapolation Expedites Alignment"☆73Updated 2 weeks ago
- ☆34Updated last year
- ☆64Updated last year
- Codes for our paper "Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generation" (EMNLP 2023 Findings)☆41Updated last year
- CodeUltraFeedback: aligning large language models to coding preferences☆71Updated 11 months ago
- Implementation of "LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models"☆42Updated 6 months ago
- ☆48Updated 3 weeks ago
- Code for ACL2023 paper: Pre-Training to Learn in Context☆108Updated 10 months ago
- ☆125Updated last year
- [ICLR'24 spotlight] Tool-Augmented Reward Modeling☆50Updated 5 months ago